Welcome to the
2026 Global Congress on Communications and Computer Technologies (GC-Technology 2026). This event is intended to represent a major forum for researchers, professionals and students from all over the world to meet in the beautiful and culturally rich city of Irbid in Jordan to present their latest research results and to exchange new ideas and practical experiences.
Scope
GC-Technology 2026 main scope includes, but is not limited to the following areas: Emergency Networks for Disaster Relief; Machine Vision Systems and Technologies; Industry 4 Perspectives and Directions; Ubiquitous Intelligent Systems; Smart Cities of the Future; Internet of Things for Smart Technologies; Smart Healthcare; Smart Devices and Technologies; Smart Architecture; Smart Transportation and Smart Vehicles; Smart Grid Technologies; Immersive Multimedia; Multimedia Signal Processing; Multimedia Systems, Networks and Technologies; Multimedia Security and Digital Forensics; Network Security and Privacy; Information Security and Privacy; Software Security and Privacy; Hardware Based Security; eLearning Models, Services and Applications; Education Programs with and for the Industry; Internet Monitoring, Control and Performance;
GC-Technology 2026 is planned to feature special sessions, keynote talks and tutorial sessions by leading experts, paper presentations, poster shows, demo shows, discussion panels, as well as other interesting technical activities.
Jordan
Coming to Jordan represents a unique opportunity to witness the embrace of history and future. As small in area as it is, Jordan has a rich history spanning thousands of years, a history that a tourist can only admire. Places like Petra and the Dead Sea are only examples of the many one-of-a-kind places to visit in Jordan. On top of all that, Jordan, as a peaceful country in a turbulent area, enjoys extreme levels of safety and security. Jordanian people are internationally known for generosity, hospitality and cultural awareness and tolerance.
Enjoy attending GC-Technology 2026 at Seven Days Hotel, in Irbid, Jordan.
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Enjoy moderate registration fees, and register up to two papers for the same registration fee. Students receive substantial registration discounts.
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Have the possiblity to extend and publish your conference papers with some of the top journal publishers.
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Only full paper submissions are allowed at all our conferences. No summary or abstract submissions are allowed. Conference topic coverage includes the most current and exciting fields of knowledge and research.
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Papers can be accepted to our conferences only after rigorous peer reviewing.
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Our outstanding reviewing process is facilitated by careful selection of technical program committee members from among the best international experts. Each submitted paper is subject to no less than two peer reviews before it can be considered for acceptance.
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Published papers of GC-Technology 2026 are indexed by Google Scholar. More indexing is on the way.
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At each conference, and based on paper review scores, the paper with the highest scores receives the Best Paper Award. This is an award to which only presented papers are eligible. The best paper award is usually delivered to the presenter of the winning paper at the main conference dinner.
Are you preparing a paper to submit to GC-Technology 2026?
If so, please help the organizing committee make good predictions about the potential size of GC-Technology 2026 participation. To do so, please indicate your plan to submit a contribution by clicking here. This does not imply any commitment on your side. Kindly note that clicking the above link does not involve submission of any contribution.
Research Trends in AI-Based Image Analysis for Industry 4.0
Summary
Artificial intelligence (AI) technology revolutionizes the operation of the industry to realize Industry 4.0 goals. Modern image analysis and machine vision methods are essential for automation and quality control in Industry 4.0. Recent advancements in deep learning approaches for Predictive maintenance, automatic inspection & quality check, robot guidance, and Digital Twin creation will be elaborated. Deep learning-based Augmented reality (AR) automation methods for tool/part detection in mechanical system assembly, Printed circuit board assembly, mechanical system assembly inspection, and collaborative maintenance assistance will be covered.
Outline of the Presentation
Introduction To Industry 4.0
Why AI in Industry
AI-based Image Analysis Applications for industries
Introduction to Image Analysis, Machine Vision and Machine Learning
Machine Vision Challenges in Industry 4.0
Deep Learning-based Machine Vision Methods and Applications in Industry 4.0
Digital Twin – Computer Vision Use Case
Deep Learning-based Augmented Reality for Industrial Application
Vijayakumar Ponnusamy has completed his PhD from SRM IST (2018), Master’s in Engineering (ME) Applied Electronics in College of Engineering at the Guindy, Anna University, Chennai, Tamilnadu, India (2005). He has Completed his BE in Electronics and Communication Engineering from the Madras University (2000). Certified “IOT Specialist” and “Data scientist “ .He is awarded IEAE Research Excellence Award, March, 2018 and for Prestigious IRDP Award 2018 for” Teaching and Research Excellence” .He is a recipient of NI Academic award for excellence in research (2015). He is certified as Best Reviewer of international conference ICVISP 18. His current research interests are in the area of Machine learning and applications, data analytic, MIMO wireless communication, cognitive radio networks, software defined radio and intelligent systems.He published 61 international journals and 57 conference. He is a senior member of IEEE, Communication Society of IEEE.He is currently working as an Associate Professor in the ECE Department, SRM IST, Chennai, Tamil Nadu, and India.
